{"id":"W6944540845","doi":"10.21227/v32a-2c18","title":"CRAWDAD icsi/netalyzr-android","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Android (operating system); Troubleshooting; Backup; Mobile broadband; Data quality; Roaming; User experience design; Data collection; Personalization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004675377,0.001272891,0.0007747621,0.003216559,0.0005928792,0.001380925,0.0009776,0.0008365816,0.02520349],"category_scores_gemma":[0.002902599,0.0003122033,0.0007265751,0.002963064,0.0002342787,0.001162755,0.001701435,0.0009888201,0.05596584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006745629,"about_ca_system_score_gemma":0.001097116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02394097,"about_ca_topic_score_gemma":0.0450194,"domain_scores_codex":[0.9991634,0.0001019926,0.00008999388,0.0002201966,0.0002693802,0.0001549584],"domain_scores_gemma":[0.9981658,0.0002527492,0.0001808648,0.0005160723,0.0007307358,0.0001537865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001431692,0.0000686719,0.009375967,0.0005641684,0.00003775764,0.00007850375,0.0001663593,0.0004488486,0.0007588242,0.000894565,0.9667498,0.02071342],"study_design_scores_gemma":[0.0001132501,0.0001064916,0.0715207,0.0004120746,0.00003863415,0.0002173096,0.0007617056,0.004066711,0.00242544,0.001170396,0.9190803,0.000086965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004954759,0.000163266,0.000518387,0.0001729481,0.0001085523,0.0001243763,0.98553,0.002305425,0.006122224],"genre_scores_gemma":[0.008536221,0.0001467315,0.001646018,0.0001331811,0.00005285629,0.000403379,0.9840956,0.0003214558,0.004664542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02520349,"threshold_uncertainty_score":0.08431411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057734169873477,"score_gpt":0.298708977124411,"score_spread":0.2681316354256763,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}